Cloud service-based smart bracelet personalized interaction feedback system

Abstract

The application provides a cloud service-based intelligent bracelet personalized interactive feedback system, and relates to the technical field of intelligent bracelets, and comprises an initialization module, an identity authentication module, an initialization pairing module, an interactive data acquisition module and an interactive feedback module; the initialization module is used for integrating a cloud platform in the intelligent bracelet and performing initialization; the identity authentication module is used for collecting user information after identity authentication; the initialization pairing module is used for initializing and pairing the bracelet; the interactive data acquisition module is used for collecting first user interactive data; the interactive feedback module is used for transmitting the first user interactive data to a second bracelet through a second encryption channel and acquiring second user feedback information when the first user interactive data triggers a preset condition. Through the application, the technical problem that the existing technology is difficult to meet the user emotional design requirements due to the relatively single interaction mode can be solved, the needs of users in emotional interaction are met through the interactive data acquisition and multi-level feedback mechanism, and the user personalized interactive experience is improved.

Description

Technical Field

[0001] This application relates to the field of smart bracelet technology, and in particular to a cloud-based smart bracelet personalized interactive feedback system. Background Technology

[0002] In modern society, with the advancement of technology and the development of the digital age, people's needs for emotional expression and interaction have become increasingly diverse. Couples, in particular, desire to express their feelings in more personalized, timely, and emotionally profound ways, in addition to traditional methods of emotional communication. Smart bracelets, as convenient and efficient wearable devices, are no longer limited to health monitoring and data tracking. They connect to mobile apps via wireless communication technologies (such as Bluetooth and NFC) to achieve real-time data transmission, processing, and feedback. Most existing smart bracelets are designed primarily for health monitoring, activity tracking, and daily reminders, focusing more on the recording and analysis of physiological data (such as heart rate, steps, and sleep quality), while offering less support for users' emotional interaction needs. The design of existing smart bracelets in terms of emotional expression and interaction is relatively simplistic, with basic functions typically limited to vibration alerts and simple message notifications, lacking richer emotional feedback mechanisms.

[0003] In summary, existing technologies suffer from technical problems due to their relatively simple interaction methods, lack of personalized interaction and real-time feedback, making it difficult to meet users' emotional design needs. Summary of the Invention

[0004] The purpose of this application is to provide a cloud-based smart bracelet personalized interactive feedback system to solve the technical problem in the prior art that the relatively simple interaction method and lack of personalized interaction and instant feedback make it difficult to meet the emotional design needs of users.

[0005] In view of the above problems, this application provides a cloud-based smart bracelet personalized interactive feedback system, wherein the cloud-based smart bracelet personalized interactive feedback system includes: an initialization module, used to integrate a cloud platform into the smart bracelet and initialize the cloud platform through user data, wherein the smart bracelet includes a first bracelet corresponding to a first user and a second bracelet corresponding to a second user; an identity authentication module, used to authenticate the smart bracelet, and when the identity authentication is successful, collect user information and upload the user information to the cloud platform through a first encrypted channel, wherein the user information includes first user information and second user information; an initial pairing module, used to initialize and pair the first bracelet and the second bracelet based on the first user information and the second user information; an interaction data acquisition module, used to collect first user interaction data from the first bracelet after initial pairing and upload the first user interaction data to the cloud platform through the first encrypted channel; and an interaction feedback module, used to transmit the first user interaction data to the second bracelet through a second encrypted channel and obtain second user feedback information when the first user interaction data triggers a preset condition.

[0006] The technical solution provided in this application has at least the following technical effects or advantages:

[0007] An initialization module is used to integrate a cloud platform into the smart bracelet, and initialize the cloud platform using user data. The smart bracelet includes a first bracelet corresponding to a first user and a second bracelet corresponding to a second user. An identity authentication module is used to authenticate the smart bracelet. Upon successful authentication, user information is collected and uploaded to the cloud platform via a first encrypted channel. The user information includes first user information and second user information. An initial pairing module is used to initialize and pair the first bracelet and the second bracelet based on the first and second user information. An interaction data acquisition module is used to collect first user interaction data from the initialized and paired first bracelet and upload it to the cloud platform via the first encrypted channel. An interaction feedback module is used to transmit the first user interaction data to the second bracelet via a second encrypted channel and obtain second user feedback information when the first user interaction data triggers a preset condition. In other words, by integrating a cloud platform into the smart bracelet, the system can analyze the user's behavior in real time and trigger different types of feedback based on these behaviors. It can also trigger specific emotional feedback in real time based on the user's personalized needs and respond flexibly to different emotional needs, thereby further satisfying the user's needs in emotional interaction and enhancing the user's personalized interactive experience.

[0008] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of the cloud-based smart bracelet personalized interactive feedback system of this application.

[0011] Figure 2 This is a schematic diagram of the user authentication process in the cloud-based smart bracelet personalized interactive feedback system of this application.

[0012] Figure labeling: Initialization module 11, Identity authentication module 12, Initialization pairing module 13, Interactive data acquisition module 14, Interactive feedback module 15. Detailed Implementation

[0013] This application addresses the technical problem in existing technologies where the relatively simple interaction methods, lack of personalized interaction and real-time feedback make it difficult to meet users' emotional design needs by providing a cloud-based smart bracelet personalized interactive feedback system. By integrating a cloud platform into the smart bracelet, it analyzes the first user's behavior in real time and triggers different types of feedback based on these behaviors. According to pre-defined personalized needs, it triggers specific emotional feedback in real time, flexibly responding to different emotional needs, further satisfying users' needs in emotional interaction and enhancing the user's personalized interactive experience.

[0014] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0015] For examples, please refer to the appendix. Figure 1 This application provides a cloud-based smart bracelet personalized interactive feedback system, wherein the cloud-based smart bracelet personalized interactive feedback system includes:

[0016] Initialization module 11 is used to integrate a cloud platform into the smart bracelet and initialize the cloud platform using user data. The smart bracelet includes a first bracelet corresponding to a first user and a second bracelet corresponding to a second user.

[0017] Specifically, a smart bracelet is a wearable device integrating sensors and wireless communication technologies. It monitors the user's health, provides alerts, and interacts with other smart devices. Internally, it contains components such as a Bluetooth chip, NFC chip, LED beads, vibration motor, encryption chip, rechargeable lithium battery, and charging management circuitry. Bluetooth (supporting Bluetooth 5.0 and above) and NFC chips are used for quick pairing between devices, typically establishing a connection between the smart bracelet and a mobile app, ensuring stable long-distance communication and real-time data transmission. For example, when one party sends an interaction command, the Bluetooth module quickly transmits the command to the bracelet's control unit. The user searches for nearby devices via Bluetooth, ensuring a stable connection between smart bracelets. The NFC chip is used for the initial pairing process; the user simply brings their phone close to the bracelet to complete device identification and connection initialization, simplifying the pairing process and improving the user experience.

[0018] A cloud platform is integrated into the smart bracelet. User data, collected from the user's personal information via a mobile app, is used to initialize the smart bracelet. The cloud platform is a cloud-based server architecture used to store and process large amounts of user data, supporting data interaction between multiple user terminals (such as mobile apps and smart bracelet devices). It provides functions such as real-time analysis, push notifications, data storage, and management. Through the cloud platform, user data can be centrally stored, ensuring data security and enabling flexible access and management. The cloud platform utilizes distributed storage technology and redundant backup strategies to ensure that user information (such as personalized settings, interaction records, and multimedia files) is not lost or corrupted, and enables rapid data retrieval and access.

[0019] The first and second bracelets represent two different users (e.g., two users in a couple). Each user has a corresponding bracelet (the first user's bracelet and the second user's bracelet), which interacts through a cloud platform, transmitting user emotions, interaction information, and data. The bracelet's device ID, version information, etc., are also uploaded to the cloud to ensure the platform correctly identifies the model and function of each device. Each user's smart bracelet is connected to their corresponding account. The first user's bracelet and the second user's bracelet are paired on the cloud platform, and each bracelet is associated with specific user data. Through this pairing relationship, the cloud platform can effectively manage the interaction data and emotional information of the two users. Through data management on the cloud platform, more personalized services can be provided to users, such as generating data reports based on the frequency of interaction and emotional expression between the couple, and customized push notifications.

[0020] The identity authentication module 12 is used to authenticate the smart bracelet. After successful authentication, it collects user information and uploads the user information to the cloud platform through a first encrypted channel. The user information includes first user information and second user information.

[0021] Specifically, after initializing the smart bracelet, strict identity authentication is required. Users need to enter a username and password for initial identity verification to confirm whether they have access to the account. After successful account and password verification, a second layer of verification is performed using biometric technology (such as fingerprint, facial recognition, or iris scanning) to enhance security and prevent unauthorized access. These two layers of verification ensure that only the user can complete the authentication process, guaranteeing the security of the device and data. Once authentication is successful, the bracelet collects and stores user information, including primary and secondary user information. This user information includes account details and pairing information. After the user information is uploaded, the cloud platform stores and manages the data, processing it to associate the primary and secondary user information, creating a virtual pairing relationship between the two users. In practice, this is typically achieved by using the NFC chip on the smart bracelet to obtain information from both devices, triggering an automatic pairing process and quickly completing device identification and connection initialization.

[0022] The collected user information is uploaded to the cloud platform through a first encrypted channel. An encrypted channel is a communication link used for secure data transmission, employing encryption technology to protect the data and ensure that information is not stolen or tampered with during transmission. The first encrypted channel refers to the data upload channel from the smart bracelet to the cloud platform, providing a secure encryption guarantee for the transmission of user information. The encrypted channel is established through encryption protocols (such as SSL / TLS), providing a secure communication link between two devices (such as the smart bracelet and the cloud platform). Before data transmission, the client (bracelet) and the server (cloud platform) negotiate encryption algorithms, keys, and other information to ensure that both parties can securely exchange data. Typically, a combination of public-key encryption and symmetric encryption is used; the cloud platform and the smart bracelet each generate a public-private key pair. Public-key encryption allows for secure key exchange during data transmission. During data transmission, symmetric encryption algorithms (such as AES) are used to encrypt the specific data content because symmetric encryption is more efficient than public-key encryption.

[0023] When the first user (e.g., couple A) authenticates their identity and collects information via the smart bracelet, this information (such as personal account details and preference settings) is encrypted through a primary encryption channel and uploaded to the cloud platform. During data transmission, any third party without the corresponding decryption key cannot read the transmitted content, preventing man-in-the-middle attacks or data theft during transmission. The encryption channel ensures the security of user information during transmission, preventing man-in-the-middle attacks or data leaks. All information uploaded to the cloud is encrypted and stored, preventing privacy breaches due to server attacks or data leaks.

[0024] The initialization pairing module 13 is used to perform initial pairing of the first bracelet and the second bracelet based on the first user information and the second user information.

[0025] Specifically, initial pairing refers to the process in a smart bracelet system where two smart bracelets establish an initial connection and pairing operation based on the user-provided identity information (such as first user information and second user information). The pairing process ensures correct and stable communication between the bracelet devices, enabling them to exchange data and perform interactive operations. Each bracelet's corresponding user (e.g., A and B in a couple) provides their identity information via the bracelet or mobile app during the initial pairing, and the cloud platform uses this information to build a user profile. When the two bracelets are within the same physical range (e.g., when the couple is standing together), they can pair via Bluetooth.

[0026] During initial pairing, the two bracelets can quickly pair via NFC chips. Users simply need to bring the two bracelets close together, and the NFC chip will trigger an automatic pairing process, quickly completing device identification and connection initialization. After the bracelet searches for user B's device via Bluetooth, it sends a pairing request. Once user B agrees to the connection, identity verification confirms whether the two belong to the same couple. If verification is successful, the smart bracelet will upload the information of both users to the cloud platform via a first encrypted channel and initialize pairing. After pairing is complete, all pairing data and user preference settings will be uploaded to the cloud platform for storage via the first encrypted communication. The cloud platform will create a pairing record to ensure stable and accurate data transmission between the two bracelets during subsequent interactions. After successful pairing, the bracelets will remain in a long-term paired state. During this period, regardless of whether the user restarts the bracelet, the cloud platform will remember the pairing information, ensuring uninterrupted subsequent interactions and data transmission. Through encrypted channels and secure management by the cloud platform, the user's pairing data and personal information are effectively protected.

[0027] The interactive data acquisition module 14 is used to collect first user interaction data from the first wristband after initial pairing, and upload the first user interaction data to the cloud platform through the first encrypted channel.

[0028] Specifically, user interaction data is collected from the first smart bracelet after initial pairing. This data comprises a series of operations and behaviors performed by the user while using the smart bracelet. For example, the user may interact through touch, vibration, button clicks, selecting emoticons, or sending messages. This data can be collected periodically, in real-time, or based on certain events or contexts. It's important to note that the "first" or "second" in the instruction manual does not refer to any specific entity, but is merely used for distinction. Once the collected interaction data is recorded, it needs to be securely transmitted to a cloud platform for further processing and storage. To ensure data privacy and security, a first encrypted channel is used to transmit the data, uploading the initial user interaction data to the cloud platform.

[0029] The first user interacts with the bracelet, collecting data through its built-in sensors or input interfaces. This data is then encrypted via a pre-established encryption channel. Data is encrypted during transmission to prevent leakage. The encrypted data is uploaded to a cloud platform and stored in its database, where it is processed according to its data type. Uploading data through an encryption channel ensures the security of user interaction data during transmission, preventing theft or tampering.

[0030] The interactive feedback module 15 is used to transmit the first user interaction data to the second bracelet through the second encrypted channel and obtain the second user feedback information when the first user interaction data triggers the preset conditions.

[0031] Specifically, preset conditions refer to pre-defined rules or events. When user interaction data matches these rules, a certain operation or feedback is triggered. Once the first user's interaction data triggers the preset conditions, it is transmitted to the second user's wristband and displayed in a corresponding format. Because user privacy data and interaction information are involved, data transmission is conducted through a second encrypted channel to ensure that the data is not tampered with or leaked during transmission. The second encrypted channel is similar to the first encrypted channel, but it uses different encryption parameters (such as keys or encryption algorithms). The second encrypted channel employs different encryption methods or key pairs to improve system security and avoid potential security risks arising under the same channel.

[0032] After the data is transmitted through the second encrypted channel, the target device (i.e., the second bracelet) receives this data and displays it or uses it to activate certain feedback functions, such as vibration, color changes, and displayed information. Once the second user receives the interaction data from the first user, the second user will respond according to their emotions or needs, such as by touching a button on the bracelet to indicate acceptance or response, generating feedback information from the second user. The feedback information from the second user is then collected again and uploaded to the cloud platform, and then transmitted to the first user through the second encrypted channel, forming a two-way emotional interaction. By triggering preset conditions for timely feedback, a more personalized couple interaction experience is provided, while multi-layered encryption ensures data security and privacy.

[0033] Further details are attached. Figure 2 As shown, the identity authentication module 12 in the cloud-based smart bracelet personalized interactive feedback system is also used for:

[0034] User authentication is performed via an access control terminal built into the smart bracelet. The access control terminal includes an authentication information collection unit and an authentication pass determination unit. The authentication information collection unit collects initial user identity information and uploads it to the cloud platform via the encrypted channel. This initial user identity information includes user account information and biometric information. The authentication pass determination unit acquires user input information in real time for first-level authentication. It then determines whether the user input information matches the user account information. If they match, a second-level authentication is performed. Finally, the authentication pass determination unit acquires user biometric information in real time and determines whether the user biometric information matches the biometric identification information. If they match, an authentication pass result is output.

[0035] Specifically, the access control terminal is a hardware module integrated within the smart bracelet, used to manage and verify user identity. It comprises two key parts: an authentication information collection unit and an authentication pass determination unit. The authentication information collection unit is responsible for collecting the user's identity information, including account information (such as username and password) and biometric information (such as fingerprints and facial recognition). The authentication pass determination unit judges the user's identity based on the information entered by the user and the pre-stored identity information, confirming the legitimacy of the user's identity. It relies on a two-step authentication mechanism (account password verification and biometric verification) to ensure the accuracy of the identity.

[0036] User account information and biometric information are collected by the authentication information collection unit and uploaded to the cloud platform through a first encrypted channel. Users provide biometric features by entering account information (such as username and password) and using biometric devices (such as fingerprint scanning or facial recognition). For example, if a user is using the bracelet for the first time, they need to enter a username and password and scan their fingerprint using the built-in fingerprint recognition sensor to obtain fingerprint data as biometric information. The encrypted channel transmission securely uploads the collected identity information to the cloud platform, ensuring privacy protection during data transmission.

[0037] The authentication process involves a judgment unit that continuously retrieves the user's input account information (such as username, password, or verification code) and compares it in real-time with the user account information stored on the cloud platform. The judgment unit checks whether the user's input account information (username and password) matches the information stored in the cloud. If they match, authentication is successful, and the user proceeds to the second authentication step. If they do not match, authentication fails, and the user is prompted to re-enter their account information or take other recovery measures (such as password retrieval). For example, when a user enters their username and password on a smart bracelet, the cloud platform compares them with the information stored in the database. If the information matches, the system considers the first authentication successful.

[0038] After account verification is successful, the authentication verification unit will obtain the user's biometric information (such as fingerprints, facial images, or other biometric features) in real time and compare it with the biometric information stored in the cloud. It checks whether the real-time biometric information provided by the user matches the pre-stored biometric information (such as fingerprint data) in the cloud database. If they match, authentication is successful; if they do not match, authentication fails, and the user is prompted to try again. If both rounds of verification (account verification and biometric verification) pass, the authentication verification unit outputs a successful authentication result and allows the user to continue with personalized settings and pairing operations on the bracelet. If either verification fails, the authentication process is interrupted, and the user is prompted with relevant errors or operational suggestions. Through multi-layered authentication (account verification and biometric verification), account theft and identity forgery are effectively prevented, improving the security of user data.

[0039] Furthermore, the identity authentication module 12 in the cloud-based smart bracelet personalized interactive feedback system is also used for:

[0040] The user information is encrypted to generate encrypted information, wherein the encrypted information includes encrypted data and an encryption key; a first encryption channel is established between the smart bracelet and the cloud platform; and the encrypted information is synchronized to the cloud platform for storage through the first encryption channel.

[0041] Specifically, user information refers to various data related to the user, including personal identification information (such as name, date of birth, contact information, etc.), device pairing information (such as the bracelet's unique identifier, pairing code, etc.), and other data generated during user interaction or use of the bracelet. The collected user information (such as personal information and pairing information) is encrypted using encryption algorithms, including AES (symmetric encryption) for encrypting stored data; or RSA (asymmetric encryption) for encrypting the transmission key to ensure the security of the key exchange process. During encryption, an encryption key or session key (e.g., using AES) is generated to encrypt the user information and ensure data confidentiality. The generation of the encryption key is crucial to the encryption process, especially when using symmetric encryption algorithms, where the key must be strictly kept secret. In practical applications, the key can be automatically generated by the encryption algorithm or generated and managed by the encryption module of a cloud platform.

[0042] The encrypted user information is converted into encrypted data and prepared for uploading to the cloud platform. The encrypted data includes encrypted data and an encryption key. The encrypted data is the output of the original data (such as user personal information or interaction records) after being processed by the encryption algorithm. It is usually garbled and cannot be read directly. The encryption key is the key used when performing the encryption operation to ensure that the encrypted data cannot be decrypted by unauthorized persons. It may be the key in symmetric encryption or the private key in asymmetric encryption.

[0043] A primary encrypted communication channel is established between the smart bracelet and the cloud platform using the TLS / SSL protocol, ensuring confidentiality and integrity during data transmission. During the TLS connection establishment process, the client (smart bracelet) and the cloud platform authenticate each other and generate a session key using an encryption algorithm. The encrypted user information is then uploaded through this primary encrypted channel. The data stream during upload is protected by symmetric encryption (such as AES) to ensure that the data is not tampered with during transmission. After the encrypted channel is established, the smart bracelet uploads the encrypted user information to the cloud platform through this channel. Upon receiving the encrypted information, the cloud platform stores it. Only with the support of a valid decryption key can the cloud platform decrypt and read the stored data. Encrypting user information using an encryption algorithm ensures the security of user information during transmission between the smart bracelet and the cloud platform. Throughout the process, the secure management and use of keys protect user privacy and data security, preventing the risk of data leakage and tampering.

[0044] Furthermore, the identity authentication module 12 in the cloud-based smart bracelet personalized interactive feedback system is also used for:

[0045] The encryption key is iterated through the cloud platform to determine the decryption key; the user input key is obtained through the smart bracelet; it is determined whether the user input key is consistent with the decryption key; if the user input key is consistent with the decryption key, the encrypted information is decrypted based on the decryption key to obtain the decrypted information; the decrypted information is transmitted to the smart bracelet for display.

[0046] Specifically, when a user needs to retrieve encrypted information, the cloud platform needs to traverse its key repository using the encryption key to find the corresponding decryption key in order to recover the data. The decryption key is used to recover the encrypted data into its original form. Typically, the decryption key is paired with the encryption key, especially in symmetric encryption where they are the same; however, in asymmetric encryption, they are different and usually kept secret. To ensure that only authorized users can decrypt the information and view the data, the user needs to enter a key on the smart bracelet, typically including a password, PIN code, fingerprint, or other biometric information. After the user enters the key, the smart bracelet compares it with the decryption key stored on the cloud platform. If the two keys match, the user's authentication is successful, and the decryption operation can continue.

[0047] If verification is successful, the cloud platform will use the decryption key to decrypt the encrypted information, restoring the original user data or interaction records. This decryption typically uses symmetric or asymmetric encryption algorithms. Once successfully decrypted, the cloud platform transmits the decrypted information to the smart bracelet via a secure encrypted channel (usually a secondary encryption channel). The smart bracelet then displays the decrypted information to the user through its screen. By managing encrypted information and keys, the system ensures that only authorized users can decrypt and access personal information, thus enhancing privacy protection.

[0048] Furthermore, the interactive feedback module 15 in the cloud-based smart bracelet personalized interactive feedback system is also used for:

[0049] Based on user needs, the preset conditions are determined, including first-level, second-level, and third-level trigger conditions. The data type of the first user interaction data is determined using a data classifier. A corresponding target preset condition is matched based on the data type. If the target preset condition is a first-level trigger condition, the first user interaction data is transmitted to the second bracelet through the second encrypted channel, and a mild reminder is given, wherein the encryption parameters of the first and second encrypted channels are different. If the target preset condition is a second-level trigger condition, the first user interaction data is transmitted to the second bracelet through the second encrypted channel, and a moderate reminder is given. If the target preset condition is a third-level trigger condition, the first user interaction data is transmitted to the second bracelet through the second encrypted channel, and a severe reminder is given.

[0050] Specifically, trigger conditions are defined based on user needs and divided into three levels, each representing a different intensity or importance of interaction. Level 1 trigger conditions represent minor interactions or low-priority alerts (such as a light touch, short text, or low-intensity physiological changes). For example, a user clicking a button on a smart bracelet or sending a short emoji. Level 2 trigger conditions represent normal interactions or moderately important information (such as a moderate number of touches, longer text, or moderate-intensity physiological changes). For example, a user interacting frequently, sending more complex emojis, or making continuous touches. Level 3 trigger conditions represent important interactions or high-priority alerts (such as multiple touches, large amounts of text, or high-intensity physiological changes). For example, a user sending emotionally charged messages, or making multiple touches or deep interactions.

[0051] Upon receiving the first user interaction data, a data classifier analyzes its type. The data classifier is trained and generates a model based on historical interaction data, user behavior, and triggering conditions to determine the type of interaction data in real time. Based on the data classifier's analysis results (data type), corresponding preset conditions are matched. If the data classifier determines the first user interaction data is a mild reminder, a level one triggering condition is selected; if it's a moderate reminder, a level two triggering condition is selected; and if it's a severe reminder, a level three triggering condition is selected.

[0052] If the target preset condition is a Level 1 trigger condition, the data is transmitted to the second wristband via the second encrypted channel, and a mild alert (such as a slight vibration or flash) is issued. For example, suppose the first user sends a simple greeting (such as "Good morning"). The data classifier identifies this as mild interaction data, selects a Level 1 trigger condition, and transmits the data to the second wristband via the second encrypted channel. Upon receiving the data, the second wristband will provide a mild vibration alert and display the text "Good morning". If the target preset condition is a Level 2 trigger condition, the data is transmitted to the second wristband via the second encrypted channel, and a moderate alert (such as a moderate vibration, flash, or text notification) is issued. If the target preset condition is a Level 3 trigger condition, the data is transmitted to the second wristband via the second encrypted channel, and a strong alert (such as a strong vibration, flash, long text notification, or push notification) is issued.

[0053] The first and second encryption channels use different encryption parameters to ensure independent security for data transmission at different stages. The first encryption channel is used for data uploads between the wristband and the cloud platform, while the second encryption channel is used for data transmission from the cloud platform to the wristband. Through a three-level triggering system and a data classifier, personalized feedback is provided based on different user interaction scenarios, ensuring that each user interaction receives a response commensurate with its importance and urgency. Different levels of alerts ensure that users receive important information promptly while avoiding excessive disruption to daily interactions.

[0054] The first encrypted channel ensures the security of data transmission from the smart bracelet to the cloud platform. Data uploaded through this channel typically includes user interaction data (such as clicked buttons, selected emojis, and sent mood statuses), personalized settings, and historical interaction records. Symmetric encryption algorithms (such as AES) or asymmetric encryption algorithms (such as RSA) are usually used to ensure data security. The second encrypted channel transmits feedback from the cloud platform back to the smart bracelet, including emotional interaction feedback, reminders, customized notifications (such as anniversary reminders and special event alerts), and customized settings. Similar to the first encrypted channel, the second encrypted channel also uses high-strength encryption algorithms to ensure the security of data transmission and prevent the leakage or tampering of user feedback or push notifications. Through the first and second encrypted channels, the security of all data during transmission is guaranteed, preventing data leakage or tampering.

[0055] Furthermore, the interactive feedback module 15 in the cloud-based smart bracelet personalized interactive feedback system is also used for:

[0056] Based on historical interaction records, a sample interaction dataset is collected, and the data type of each sample interaction data is labeled to obtain a sample data type set; the sample interaction dataset and the sample data type set are used as supervised training data to construct and train the data classifier until the convergence condition is met.

[0057] Specifically, interaction data is collected from users' smart bracelets and other related devices. This data can include touch actions, message sending, heart rate changes, step count, exercise intensity, timestamps, etc. Each interaction data is labeled to determine its corresponding operation type, such as mild reminder, moderate reminder, and severe reminder. Through labeling, each sample interaction dataset will be assigned a corresponding label indicating the operation type of the interaction data. The obtained sample interaction datasets and sample data types are cleaned, imputing missing values ​​or deleting samples with a large number of missing values. Then, features at different scales are standardized (e.g., z-score standardization) to ensure that all features have the same scale and to avoid some features having large dimensions that affect model training.

[0058] A supervised learning model is built based on a historical interaction dataset and a set of operation types. The model is trained using the input features as both features and target values, learning how to determine the corresponding operation type label from the features. To evaluate the classifier's performance, the dataset is divided into training and test sets, typically 70% for training and 30% for testing. The training set data is fed into the classifier using a chosen classification algorithm (e.g., decision tree, random forest). The classifier learns how to classify different interaction data into the correct operation type based on the input features of the training set. During training, cross-validation is used to evaluate the model's performance and prevent overfitting. Appropriate optimization algorithms (e.g., gradient descent, stochastic gradient descent) are selected to update the model parameters. The trained model is evaluated using a test dataset, calculating accuracy, precision, recall, and F1 score for different operation types to ensure the model can effectively distinguish different levels of alerts. The differences between the model's predictions and the true labels are analyzed to identify which operation types are misclassified, and the model is adjusted accordingly.

[0059] The trained model is deployed to a cloud platform, allowing user interaction data to be input into the model for prediction in real time. During real-time use, when a user interacts, real-time data (such as touches, message length, heart rate, etc.) is collected and input into the trained model. The model predicts the type of interaction (mild, moderate, or severe) based on the input features and provides corresponding alerts based on the prediction results. The model is further optimized based on real-time user feedback (such as the effectiveness or frequency of alerts). Over time, new user interaction data is continuously collected and used to further train and optimize the model. For new interaction data, the model is gradually updated, enabling it to adapt to new patterns as user behavior changes. By collecting and labeling sample interaction data from historical interaction records, a data classifier is trained using supervised learning methods (such as decision trees and random forests), ultimately resulting in a model capable of analyzing and predicting user interaction types in real time.

[0060] Furthermore, the cloud-based smart bracelet personalized interactive feedback system also includes a personalization settings module, which is further used for:

[0061] The smart bracelet acquires personalized user content; the personalized user content is uploaded to the cloud platform for storage through the first encrypted channel; the cloud platform performs standardization processing on the personalized user content to obtain standardized personalized content; the standardized personalized content is statistically analyzed to obtain data analysis results, and the data analysis results are transmitted to the smart bracelet for display.

[0062] Specifically, personalized content refers to content that users input and customize based on their interests, emotional needs, and interaction methods, including text, voice, images, and videos. Users can also define the bracelet's appearance and interaction modes (such as flash color and vibration mode), all of which can be considered part of personalized content. The smart bracelet acquires this personalized content through voice recognition, text input, and a camera. The acquired personalized content is then encrypted using a primary encryption channel (such as TLS encryption or AES encryption) to ensure that the data is not stolen or tampered with during upload.

[0063] Once personalized content is uploaded to the cloud platform, it undergoes standardization, converting different formats (text, voice, images, videos, etc.) into a unified standard format for easy storage, analysis, and display. The cloud platform then statistically analyzes this standardized content, including the frequency of user uploads, common interaction methods, and specific notification preferences. The data analysis results (e.g., user interaction frequency, common content types) are transmitted back to the smart bracelet via a second encrypted channel (e.g., SSL / TLS encryption). Based on the received analysis results, the smart bracelet displays personalized data reports and, under user-defined conditions, personalized content. Users can express emotions by inputting different personalized content (e.g., text, voice, images, videos), and the bracelet can provide customized interaction methods based on user preferences, such as customized flash colors and vibration modes. Through the uploading and analysis of personalized content, the smart bracelet continuously adapts to users' emotional needs, increasing the frequency and depth of interaction between couples and strengthening their emotional connection.

[0064] Furthermore, the cloud-based smart bracelet personalized interactive feedback system also includes a battery reminder module, which is further used for:

[0065] The smart bracelet undergoes a power self-test, and a power self-test result is established. After the smart bracelet is authenticated, a power adaptation analysis is performed based on the user's selected mode to obtain a power verification result. It is then determined whether the power self-test result meets the power verification result. If the power self-test result does not meet the power verification result, a power reminder is issued.

[0066] Specifically, during startup or operation, smart bracelets automatically detect and assess their own battery level through a built-in charging management circuit. Through this self-test, the smart bracelet can determine the remaining battery power, its health status, and whether it needs charging. The self-test results are output data generated during the process and typically include information such as the remaining battery power, charging status (whether fully charged or charging), and battery health status.

[0067] After the band is certified, the user selects different usage modes (such as power-saving mode, normal mode, high-performance mode, specific functions, etc.). Based on the user's selection and the current battery status, a power adaptation analysis is performed to predict battery usage under the selected mode. The selected mode refers to the specific operating mode chosen by the user when using the smart band, and these modes will affect the band's battery consumption.

[0068] Power mismatch analysis refers to the prediction and optimization of power usage based on the user's selected mode and the smart band's current battery status. It analyzes the band's power requirements and remaining power according to different usage scenarios (such as power-saving mode, normal mode, etc.) to provide users with optimized battery usage plans. The power self-check results are compared with preset power standards to verify whether the power required for the user's selected mode is met. The power verification result indicates whether the power level determined after power mismatch analysis is sufficient to support the user's selected mode. If the power is insufficient to support the mode, the user will be prompted to charge.

[0069] Based on the battery self-check results (such as remaining battery power and health status) and the battery verification results (such as whether the battery has enough power to support the selected mode), it is determined whether the battery requirements of the current mode are met. If the battery self-check results do not meet the battery verification results, a battery warning is triggered, notifying the user that the battery is low and action needs to be taken (such as charging or switching modes). Through battery adaptation analysis, the battery usage strategy is adjusted according to the user's selected mode to prevent the battery from running out of power prematurely and extend usage time. Based on different users' usage habits and needs, intelligent power allocation is performed for the user's selected mode to optimize battery usage efficiency.

[0070] In summary, the cloud-based smart bracelet personalized interactive feedback system provided in this application has the following technical effects:

[0071] An initialization module is used to integrate a cloud platform into the smart bracelet, and initialize the cloud platform using user data. The smart bracelet includes a first bracelet corresponding to a first user and a second bracelet corresponding to a second user. An identity authentication module is used to authenticate the smart bracelet. Upon successful authentication, user information is collected and uploaded to the cloud platform via a first encrypted channel. The user information includes first user information and second user information. An initial pairing module is used to initialize and pair the first bracelet and the second bracelet based on the first and second user information. An interaction data acquisition module is used to collect first user interaction data from the initialized and paired first bracelet and upload it to the cloud platform via the first encrypted channel. An interaction feedback module is used to transmit the first user interaction data to the second bracelet via a second encrypted channel and obtain second user feedback information when the first user interaction data triggers a preset condition. In other words, by integrating a cloud platform into the smart bracelet, the system can analyze the user's behavior in real time and trigger different types of feedback based on these behaviors. It can also trigger specific emotional feedback in real time based on the user's personalized needs and respond flexibly to different emotional needs, thereby further satisfying the user's needs in emotional interaction and enhancing the user's personalized interactive experience.

[0072] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0073] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A personalized interactive feedback system for smart bracelets based on cloud services, characterized in that: include: An initialization module is used to integrate a cloud platform into a smart bracelet and initialize the cloud platform using user data. The smart bracelet includes a first bracelet corresponding to a first user and a second bracelet corresponding to a second user. The identity authentication module is used to authenticate the identity of the smart bracelet. After the identity authentication is successful, the module collects user information and uploads the user information to the cloud platform through the first encrypted channel. The user information includes first user information and second user information. An initialization pairing module is used to perform initial pairing of the first bracelet and the second bracelet based on the first user information and the second user information; The interactive data acquisition module is used to collect first user interaction data from the first wristband after initial pairing, and upload the first user interaction data to the cloud platform through the first encrypted channel. The interactive feedback module is used to transmit the first user interaction data to the second bracelet through the second encrypted channel and obtain the second user feedback information when the first user interaction data triggers the preset conditions. The interactive feedback module is specifically used for: Based on user needs, the preset conditions are determined, wherein the preset conditions include first-level trigger conditions, second-level trigger conditions, and third-level trigger conditions; The data type of the first user interaction data is determined by a data classifier; Match the corresponding target preset conditions based on the data type; If the target preset condition is a level one trigger condition, the first user interaction data is transmitted to the second bracelet through the second encryption channel, and a light reminder is given. The encryption parameters of the first encryption channel and the second encryption channel are different. If the target preset condition is a secondary trigger condition, the first user interaction data is transmitted to the second bracelet through the second encrypted channel, and a moderate reminder is given; If the target preset condition is a level three trigger condition, the first user interaction data will be transmitted to the second bracelet through the second encrypted channel, and a strong reminder will be issued.

2. The cloud-based smart bracelet personalized interactive feedback system according to claim 1, characterized in that, The identity authentication module is specifically used for: The user's identity is authenticated through an access control terminal built into the smart bracelet, wherein the access control terminal includes an authentication information collection unit and an authentication pass judgment unit; The authentication information collection unit collects the user's initial identity information and uploads it to the cloud platform through the encrypted channel. The user's initial identity information includes user account information and biometric information. The authentication process involves obtaining user input information in real time through a judgment unit to perform first identity authentication. Determine whether the user input information matches the user account information. If the user input information matches the user account information, then perform a second identity authentication. The authentication process allows the judgment unit to obtain the user's biometric information in real time. Determine whether the user's biometric information and the biometric identification information are consistent. If the user's biometric information and the biometric identification information are consistent, output the authentication success result.

3. The cloud-based smart bracelet personalized interactive feedback system according to claim 1, characterized in that, The identity authentication module is specifically used for: The user information is encrypted to generate encrypted information, wherein the encrypted information includes encrypted data and an encryption key; Establish the first encrypted channel between the smart bracelet and the cloud platform; The encrypted information is synchronized to the cloud platform for storage through the first encryption channel.

4. The cloud-based smart bracelet personalized interactive feedback system according to claim 3, characterized in that, The identity authentication module is also used for: The decryption key is determined by iterating through the cloud platform based on the encryption key. The user-input key is obtained through the smart bracelet; Determine whether the user-input key matches the decryption key; If the user-input key matches the decryption key, the encrypted information is decrypted based on the decryption key to obtain the decrypted information; The decrypted information is transmitted to the smart bracelet for display.

5. The cloud-based smart bracelet personalized interactive feedback system according to claim 1, characterized in that, The interactive feedback module is specifically used for: Based on historical interaction records, a sample interaction dataset is collected, and the data type of each sample interaction data is labeled to obtain a sample data type set; Using the sample interaction dataset and the sample data type set as supervised training data, the data classifier is constructed and trained until the convergence condition is met.

6. The cloud-based smart bracelet personalized interactive feedback system according to claim 1, characterized in that, The cloud-based smart bracelet personalized interactive feedback system also includes a personalization settings module, which is used for: Personalized content for users can be obtained through the smart bracelet; The user-personalized content is uploaded to the cloud platform for storage through the first encrypted channel; The user-personalized content is standardized through the cloud platform to obtain standardized personalized content. The standardized personalized content is statistically analyzed to obtain data analysis results, which are then transmitted to the smart bracelet for display.

7. The cloud-based smart bracelet personalized interactive feedback system according to claim 1, characterized in that, The cloud-based smart bracelet personalized interactive feedback system also includes a battery reminder module, which is used for: Perform a battery self-test on the smart bracelet and establish the battery self-test result; After the smart bracelet is authenticated, a power adaptation analysis is performed based on the user's selected mode to obtain the power verification result; Determine whether the power self-test result meets the power verification result. If the power self-test result does not meet the power verification result, issue a power reminder.

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